In [2]:
import numpy as np
In [4]:
ones_arr = np.ones((5,5))
In [6]:
ones_arr
Out[6]:
array([[1., 1., 1., 1., 1.],
       [1., 1., 1., 1., 1.],
       [1., 1., 1., 1., 1.],
       [1., 1., 1., 1., 1.],
       [1., 1., 1., 1., 1.]])
In [8]:
ones_arr = np.ones((5,5),dtype=int)
In [10]:
ones_arr
Out[10]:
array([[1, 1, 1, 1, 1],
       [1, 1, 1, 1, 1],
       [1, 1, 1, 1, 1],
       [1, 1, 1, 1, 1],
       [1, 1, 1, 1, 1]])
In [12]:
zeros_arr = np.zeros((3,3),dtype=int)
In [14]:
zeros_arr
Out[14]:
array([[0, 0, 0],
       [0, 0, 0],
       [0, 0, 0]])
In [16]:
ones_arr
Out[16]:
array([[1, 1, 1, 1, 1],
       [1, 1, 1, 1, 1],
       [1, 1, 1, 1, 1],
       [1, 1, 1, 1, 1],
       [1, 1, 1, 1, 1]])
In [18]:
ones_arr * 255
Out[18]:
array([[255, 255, 255, 255, 255],
       [255, 255, 255, 255, 255],
       [255, 255, 255, 255, 255],
       [255, 255, 255, 255, 255],
       [255, 255, 255, 255, 255]])
In [20]:
zeros_arr
Out[20]:
array([[0, 0, 0],
       [0, 0, 0],
       [0, 0, 0]])
In [22]:
ones_arr
Out[22]:
array([[1, 1, 1, 1, 1],
       [1, 1, 1, 1, 1],
       [1, 1, 1, 1, 1],
       [1, 1, 1, 1, 1],
       [1, 1, 1, 1, 1]])
In [24]:
import matplotlib.pyplot as plt
In [26]:
%matplotlib inline
In [28]:
from PIL import Image
In [30]:
car_img = Image.open(r"C:\Users\arnav\OneDrive\Desktop\18015-MC20BluInfinito-scaled-e1707920217641.jpg")
In [36]:
car_img
Out[36]:
No description has been provided for this image
In [38]:
type(car_img)
Out[38]:
PIL.JpegImagePlugin.JpegImageFile
In [40]:
car_arr =  np.asarray(car_img)
In [42]:
car_arr
Out[42]:
array([[[112, 104,  67],
        [111, 103,  66],
        [110, 102,  65],
        ...,
        [118, 100,  60],
        [117,  99,  61],
        [116,  98,  60]],

       [[117, 110,  68],
        [117, 110,  68],
        [116, 109,  67],
        ...,
        [118, 100,  60],
        [117,  99,  61],
        [117,  99,  61]],

       [[126, 118,  69],
        [126, 118,  69],
        [127, 119,  70],
        ...,
        [115, 100,  59],
        [115, 100,  61],
        [115, 100,  61]],

       ...,

       [[188, 174, 147],
        [187, 173, 146],
        [187, 173, 146],
        ...,
        [191, 179, 155],
        [194, 182, 158],
        [195, 183, 159]],

       [[187, 173, 144],
        [187, 173, 144],
        [186, 172, 143],
        ...,
        [193, 181, 157],
        [195, 183, 159],
        [196, 184, 160]],

       [[187, 173, 144],
        [186, 172, 143],
        [185, 171, 142],
        ...,
        [195, 183, 159],
        [196, 184, 160],
        [197, 185, 161]]], dtype=uint8)
In [44]:
type(car_arr)
Out[44]:
numpy.ndarray
In [46]:
car_arr.shape
Out[46]:
(1080, 1920, 3)
In [50]:
plt.imshow(car_arr)
Out[50]:
<matplotlib.image.AxesImage at 0x1a4bada5510>
No description has been provided for this image
In [52]:
car_red = car_arr.copy()
In [54]:
car_red
Out[54]:
array([[[112, 104,  67],
        [111, 103,  66],
        [110, 102,  65],
        ...,
        [118, 100,  60],
        [117,  99,  61],
        [116,  98,  60]],

       [[117, 110,  68],
        [117, 110,  68],
        [116, 109,  67],
        ...,
        [118, 100,  60],
        [117,  99,  61],
        [117,  99,  61]],

       [[126, 118,  69],
        [126, 118,  69],
        [127, 119,  70],
        ...,
        [115, 100,  59],
        [115, 100,  61],
        [115, 100,  61]],

       ...,

       [[188, 174, 147],
        [187, 173, 146],
        [187, 173, 146],
        ...,
        [191, 179, 155],
        [194, 182, 158],
        [195, 183, 159]],

       [[187, 173, 144],
        [187, 173, 144],
        [186, 172, 143],
        ...,
        [193, 181, 157],
        [195, 183, 159],
        [196, 184, 160]],

       [[187, 173, 144],
        [186, 172, 143],
        [185, 171, 142],
        ...,
        [195, 183, 159],
        [196, 184, 160],
        [197, 185, 161]]], dtype=uint8)
In [58]:
car_arr == car_red
Out[58]:
array([[[ True,  True,  True],
        [ True,  True,  True],
        [ True,  True,  True],
        ...,
        [ True,  True,  True],
        [ True,  True,  True],
        [ True,  True,  True]],

       [[ True,  True,  True],
        [ True,  True,  True],
        [ True,  True,  True],
        ...,
        [ True,  True,  True],
        [ True,  True,  True],
        [ True,  True,  True]],

       [[ True,  True,  True],
        [ True,  True,  True],
        [ True,  True,  True],
        ...,
        [ True,  True,  True],
        [ True,  True,  True],
        [ True,  True,  True]],

       ...,

       [[ True,  True,  True],
        [ True,  True,  True],
        [ True,  True,  True],
        ...,
        [ True,  True,  True],
        [ True,  True,  True],
        [ True,  True,  True]],

       [[ True,  True,  True],
        [ True,  True,  True],
        [ True,  True,  True],
        ...,
        [ True,  True,  True],
        [ True,  True,  True],
        [ True,  True,  True]],

       [[ True,  True,  True],
        [ True,  True,  True],
        [ True,  True,  True],
        ...,
        [ True,  True,  True],
        [ True,  True,  True],
        [ True,  True,  True]]])
In [60]:
plt.imshow(car_red)
Out[60]:
<matplotlib.image.AxesImage at 0x1a4bad36350>
No description has been provided for this image
In [62]:
car_red.shape
Out[62]:
(1080, 1920, 3)
In [64]:
plt.imshow(car_red[:,:,0])
Out[64]:
<matplotlib.image.AxesImage at 0x1a4bb255d10>
No description has been provided for this image
In [66]:
car_red[:,:,0]
Out[66]:
array([[112, 111, 110, ..., 118, 117, 116],
       [117, 117, 116, ..., 118, 117, 117],
       [126, 126, 127, ..., 115, 115, 115],
       ...,
       [188, 187, 187, ..., 191, 194, 195],
       [187, 187, 186, ..., 193, 195, 196],
       [187, 186, 185, ..., 195, 196, 197]], dtype=uint8)
In [68]:
plt.imshow(car_red[:,:,0], cmap='gray')
Out[68]:
<matplotlib.image.AxesImage at 0x1a4bb1882d0>
No description has been provided for this image
In [70]:
plt.imshow(car_red[:,:,0], cmap='Blues')
Out[70]:
<matplotlib.image.AxesImage at 0x1a4bb2fe350>
No description has been provided for this image
In [72]:
plt.imshow(car_red[:,:,0], cmap='Reds')
Out[72]:
<matplotlib.image.AxesImage at 0x1a4bb53edd0>
No description has been provided for this image
In [74]:
plt.imshow(car_red[:,:,0], cmap='PuBu')
Out[74]:
<matplotlib.image.AxesImage at 0x1a4bb544850>
No description has been provided for this image
In [80]:
plt.imshow(car_red[:,:,0], cmap='GnBu')
Out[80]:
<matplotlib.image.AxesImage at 0x1a4c49f24d0>
No description has been provided for this image
In [84]:
plt.imshow(car_red[:,:,1], cmap='Greys')
Out[84]:
<matplotlib.image.AxesImage at 0x1a4c4a7ed10>
No description has been provided for this image
In [88]:
plt.imshow(car_red[:,:,1], cmap='gray')
Out[88]:
<matplotlib.image.AxesImage at 0x1a4c532e2d0>
No description has been provided for this image
In [90]:
car_red[:,:,0]
Out[90]:
array([[112, 111, 110, ..., 118, 117, 116],
       [117, 117, 116, ..., 118, 117, 117],
       [126, 126, 127, ..., 115, 115, 115],
       ...,
       [188, 187, 187, ..., 191, 194, 195],
       [187, 187, 186, ..., 193, 195, 196],
       [187, 186, 185, ..., 195, 196, 197]], dtype=uint8)
In [92]:
car_red[:,:,1]
Out[92]:
array([[104, 103, 102, ..., 100,  99,  98],
       [110, 110, 109, ..., 100,  99,  99],
       [118, 118, 119, ..., 100, 100, 100],
       ...,
       [174, 173, 173, ..., 179, 182, 183],
       [173, 173, 172, ..., 181, 183, 184],
       [173, 172, 171, ..., 183, 184, 185]], dtype=uint8)
In [94]:
car_red[:,:,2]
Out[94]:
array([[ 67,  66,  65, ...,  60,  61,  60],
       [ 68,  68,  67, ...,  60,  61,  61],
       [ 69,  69,  70, ...,  59,  61,  61],
       ...,
       [147, 146, 146, ..., 155, 158, 159],
       [144, 144, 143, ..., 157, 159, 160],
       [144, 143, 142, ..., 159, 160, 161]], dtype=uint8)
In [96]:
car_red[:,:,1] = 0
In [98]:
car_red[:,:,1]
Out[98]:
array([[0, 0, 0, ..., 0, 0, 0],
       [0, 0, 0, ..., 0, 0, 0],
       [0, 0, 0, ..., 0, 0, 0],
       ...,
       [0, 0, 0, ..., 0, 0, 0],
       [0, 0, 0, ..., 0, 0, 0],
       [0, 0, 0, ..., 0, 0, 0]], dtype=uint8)
In [100]:
plt.imshow(car_red)
Out[100]:
<matplotlib.image.AxesImage at 0x1a4c5803e50>
No description has been provided for this image
In [102]:
car_red[:,:,2]
Out[102]:
array([[ 67,  66,  65, ...,  60,  61,  60],
       [ 68,  68,  67, ...,  60,  61,  61],
       [ 69,  69,  70, ...,  59,  61,  61],
       ...,
       [147, 146, 146, ..., 155, 158, 159],
       [144, 144, 143, ..., 157, 159, 160],
       [144, 143, 142, ..., 159, 160, 161]], dtype=uint8)
In [104]:
car_red[:,:,2] = 0
In [108]:
car_red[:,:,2]
Out[108]:
array([[0, 0, 0, ..., 0, 0, 0],
       [0, 0, 0, ..., 0, 0, 0],
       [0, 0, 0, ..., 0, 0, 0],
       ...,
       [0, 0, 0, ..., 0, 0, 0],
       [0, 0, 0, ..., 0, 0, 0],
       [0, 0, 0, ..., 0, 0, 0]], dtype=uint8)
In [110]:
plt.imshow(car_arr)
Out[110]:
<matplotlib.image.AxesImage at 0x1a4c5eab2d0>
No description has been provided for this image
In [112]:
car_arr
Out[112]:
array([[[112,   0,   0],
        [111,   0,   0],
        [110,   0,   0],
        ...,
        [118,   0,   0],
        [117,   0,   0],
        [116,   0,   0]],

       [[117,   0,   0],
        [117,   0,   0],
        [116,   0,   0],
        ...,
        [118,   0,   0],
        [117,   0,   0],
        [117,   0,   0]],

       [[126,   0,   0],
        [126,   0,   0],
        [127,   0,   0],
        ...,
        [115,   0,   0],
        [115,   0,   0],
        [115,   0,   0]],

       ...,

       [[188,   0,   0],
        [187,   0,   0],
        [187,   0,   0],
        ...,
        [191,   0,   0],
        [194,   0,   0],
        [195,   0,   0]],

       [[187,   0,   0],
        [187,   0,   0],
        [186,   0,   0],
        ...,
        [193,   0,   0],
        [195,   0,   0],
        [196,   0,   0]],

       [[187,   0,   0],
        [186,   0,   0],
        [185,   0,   0],
        ...,
        [195,   0,   0],
        [196,   0,   0],
        [197,   0,   0]]], dtype=uint8)
In [114]:
car_red
Out[114]:
array([[[112,   0,   0],
        [111,   0,   0],
        [110,   0,   0],
        ...,
        [118,   0,   0],
        [117,   0,   0],
        [116,   0,   0]],

       [[117,   0,   0],
        [117,   0,   0],
        [116,   0,   0],
        ...,
        [118,   0,   0],
        [117,   0,   0],
        [117,   0,   0]],

       [[126,   0,   0],
        [126,   0,   0],
        [127,   0,   0],
        ...,
        [115,   0,   0],
        [115,   0,   0],
        [115,   0,   0]],

       ...,

       [[188,   0,   0],
        [187,   0,   0],
        [187,   0,   0],
        ...,
        [191,   0,   0],
        [194,   0,   0],
        [195,   0,   0]],

       [[187,   0,   0],
        [187,   0,   0],
        [186,   0,   0],
        ...,
        [193,   0,   0],
        [195,   0,   0],
        [196,   0,   0]],

       [[187,   0,   0],
        [186,   0,   0],
        [185,   0,   0],
        ...,
        [195,   0,   0],
        [196,   0,   0],
        [197,   0,   0]]], dtype=uint8)
In [116]:
car_img
Out[116]:
No description has been provided for this image
In [118]:
arr1 = np.asarray(car_img)
In [120]:
type(arr1)
Out[120]:
numpy.ndarray
In [124]:
arr1.shape
Out[124]:
(1080, 1920, 3)
In [126]:
plt.imshow(arr1)
Out[126]:
<matplotlib.image.AxesImage at 0x1a4c5f2cb90>
No description has been provided for this image
In [128]:
car_img1 = arr1.copy()
In [130]:
car_img1[:,:,0] = 0
In [132]:
plt.imshow(car_img1)
Out[132]:
<matplotlib.image.AxesImage at 0x1a4c72e6d10>
No description has been provided for this image
In [134]:
car_img1[:,:,1] = 0
In [136]:
plt.imshow(car_img1)
Out[136]:
<matplotlib.image.AxesImage at 0x1a4c7204110>
No description has been provided for this image
In [ ]: